Senior Machine Learning Engineer – USDS (Multiple Positions) Full-time

Responsibilities

About TikTok U.S. Data Security
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok U.S. Data Security Inc. (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this
commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join Us
Creation is the core of TikTok’s purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy – a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That’s how we drive impact – for ourselves, our company, and the communities we serve.
Join us.

About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems – you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
– Formulate real-world user data modeling in statistical learning problems and work across the full machine learning (ML) modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning and evaluation, and model selection based on different modeling scenarios to develop, build, and optimize the performance of large and highly scalable ML systems, algorithms, strategies, models and/or infrastructures.
– Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience.
– Build and train ML, deep learning models and their variants to analyze and predict user behavior metrics and treatment effects with ML frameworks.
– Use big data frameworks and analytics tools to aggregate, collate, and analyze experiment data.
– Research and design on ML models to optimize our systems, features, algorithms, and product strategies.
– Partner with product managers and product strategy and operation team to define product strategy and features.
– Collaborate with strategy team, product managers, policy team and other key stakeholders to assist in defining products and driving initiatives from ML engineering viewpoint.
– Mentor junior Machine Learning Engineers and interns.

Qualifications

Qualifications
Must have a Master’s degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor’s degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or
a related quantitative field, and 5 years of post-bachelor’s, progressive related work experience.

Of the required experience, must have 2 years of experience in each of the following:
– Coding using Python or C++;
– Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;
– Developing code and identifying issues in Linux environment;
– Developing and deploying large-scale machine learning systems; and
– Utilizing Big data framework Spark, Hadoop, or Flink.

Employer: TikTok U.S. Data Security Inc.
Type: Full time, 40 hours/week
Location:Mountain View, CA

Salary Range: $194000 – $355000 per year

To Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website.

TikTok U.S. Data Security is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok U.S. Data Security, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok U.S. Data Security is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at usds.accommodations@tiktokusds.com

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